 Deploying and evaluating multiattribute product recommendation in e-marketsNikos Manouselis International Journal of Management and Decision Making, 2008, vol. 9, issue 1, 43-61 Abstract: Evaluation of proposed recommender systems before their final deployment, under experimental conditions close to the actual e-market ones, can prove of significant added value for system developers. The objective of this paper is to present the results of a pilot evaluation experiment for a product recommendation system of an electronic market (e-market). More specifically, it first presents the design of a product recommendation algorithm that is based on MultiAttribute Utility Theory (MAUT). Then it describes its implementation and evaluation for supporting consumers' wine selection in agricultural e-markets. This takes place through a small-scale experiment that engages a variety of evaluation measures and which involves both simulated data, as well as, data from a focus group of real wine consumers. This pilot evaluation may serve as a useful case study for e-market operators and developers who wish to evaluate multiattribute product recommendation systems before they deploy them online. Keywords: agricultural e-markets; recommender systems; pilot study; evaluation; multiattribute utility theory; MAUT; wine selection; product recommendation; electronic markets. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmdma:v:9:y:2008:i:1:p:43-61 Access Statistics for this article More articles in International Journal of Management and Decision Making from Inderscience Enterprises Ltd |
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